Greetings to all,
I am using stata 6.
I am trying to evaluate a binary logit model using classification table and
roc curve.
Sometimes I get a sensitivity of 100% or a specifity of 100%.
What is the implication of such 100% figures for a binary logit model? Which
level of sensitivity is good or what level of specifity is good?
What is prefered, classification table of a roc curve?
Thank you for your help
Mahdi
--
COMPUTERBILD 15/03: Premium-e-mail-Dienste im Test
--------------------------------------------------
1. GMX TopMail - Platz 1 und Testsieger!
2. GMX ProMail - Platz 2 und Preis-Qualit�tssieger!
3. Arcor - 4. web.de - 5. T-Online - 6. freenet.de - 7. daybyday - 8. e-Post
*
* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
